Artificial intelligence for reducing missed detection of adenomas and polyps in colonoscopy: A systematic review and meta-analysis

doi:10.3748/wjg.v31.i21.105753

Advanced Search

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 31, Issue 21

This Article

Academic Content and Language Evaluation of This Article

CrossCheck and Google Search of This Article

Academic Rules and Norms of This Article

Supplementary Materials of This Article

Citation of this article

Corresponding Author of This Article

Research Domain of This Article

Article-Type of This Article

Open-Access Policy of This Article

Times Cited Counts in Google of This Article

Number of Hits and Downloads for This Article

Total Article Views (307)

All Articles published online

The chart showing PDF series, HTML series, Figures (1-9) series, Tables (1-1) series.

Item

Count

PDF

HTML

188

Figures (1-9)

Tables (1-1)

Sum=296

Publishing Process of This Article

The chart showing Browse series, Download series.

Item

Count

Browse

Download

Sum=1

Jun 7, 2025 (publication date) through Jun 9, 2025

Times Cited of This Article

Times Cited (0)

Journal Information of This Article

Publication Name

World Journal of Gastroenterology

ISSN

1007-9327

Publisher of This Article

Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

Meta-Analysis

World J Gastroenterol. Jun 7, 2025; 31(21): 105753
Published online Jun 7, 2025. doi: 10.3748/wjg.v31.i21.105753

Full Size Figure Download Figure

Figure 5 Forrest plot showing polyps miss rate for colonoscopy with vs without computer-aided detection assistance for the included studies. CADe: Computer-aided detection.

Citation: Wang SY, Gao JC, Wu SD. Artificial intelligence for reducing missed detection of adenomas and polyps in colonoscopy: A systematic review and meta-analysis. World J Gastroenterol 2025; 31(21): 105753
URL: https://www.wjgnet.com/1007-9327/full/v31/i21/105753.htm
DOI: https://dx.doi.org/10.3748/wjg.v31.i21.105753